Solutions Engineer

Berlin, Edinburgh, Worldwide

Full-time

About us

Rasa builds open source ML tools to enable developers to make conversational software that really works. By conversational software we mean voice control systems, VR, AR, IoT, virtual assistants, and yes, bots. Regexes and if/else statements only get you so far, and we’re building the tools for going beyond that using deep learning. Rasa is used by thousands of developers worldwide. Our customers include leading enterprises such as UBS, ERGO and Helvetia. We're based in Berlin, funded by Techstars and Salisbury Ventures.Rasa is an equal opportunity employer. We are still a small team and are committed to growing in an inclusive manner. We want to augment our team with talented, compassionate people irrespective of race, color, religion, national origin, sex, physical or mental disability, or age.

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Our enterprise product Rasa Platform is growing quickly, and the number of companies building production systems with Rasa is increasing fast. That’s why we are looking for enthusiastic solutions engineers to support us in helping those teams succeed. Doing this well is core to the success of the company.

About this role

Tens of thousands of developers worldwide build conversational AI with Rasa.You will be working directly with developers and product managers at companies using Rasa to build products. You’ll support them in development, analysing use cases, testing and resolving issues.You will collaborate closely with Rasa’s product engineers to improve APIs and usability.

About you

You are excited about conversational interfaces: chatbots, support systems, voice assistants, etc. You have experience programming in a couple of languages. You’re good at finding the root cause of a bug, and can find a solution or workaround when the obvious fixes haven’t worked. Ideally you’ve also worked on some practical applications of machine learning.You want to learn about machine learning and natural language processing, applied machine learning, and putting AI systems into production.Requirements:

Degree in computer science or a related field, or at least 2 years experience developing software.

Familiarity with machine learning concepts

Practical experience applying machine learning is a big bonus

Things You Might Do

help our customer's engineers build Rasa apps

support product teams in identifying use cases for a chatbot or voice assistant

report back when a customer encounters shortcomings in our models and discuss how to improve them with our applied research team

run a workshop on best practices with the Rasa stack.

speak at a developer conference

collaborate with product teams to make our open source libraries easier to use